What are the benefits of machine learning in environmental science?
Machine learning helps analyze large datasets, improving predictions for climate change, biodiversity, and resource management.
Can you give me an example of how it's used in climate change?
Sure! Machine learning models can predict temperature changes and extreme weather events by analyzing historical climate data.
What about its role in wildlife conservation?
In wildlife conservation, machine learning can track animal populations and habitats, helping to identify endangered species and protect them.
Are there any challenges in using machine learning for these purposes?
Yes, challenges include data quality, the need for large datasets, and the complexity of interpreting machine learning models.
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